{"id":"W4281647038","doi":"10.3389/frai.2022.660581","title":"Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models","year":2022,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Horizon 2020; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; UCLH Biomedical Research Centre; Engineering and Physical Sciences Research Council; UK Research and Innovation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Donepezil; Clinical trial; Disease; Medicine; Cognitive impairment; Cohort; Cognition; Oncology; Internal medicine; Dementia; Intensive care medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01619006,0.001000388,0.001654794,0.001552068,0.000460786,0.001609513,0.001330589,0.001307802,0.003669508],"category_scores_gemma":[0.04774033,0.0006636091,0.00209005,0.0009160134,0.0007518561,0.0009646914,0.00103503,0.00165002,0.0003428993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382479,"about_ca_system_score_gemma":0.003511028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006339072,"about_ca_topic_score_gemma":0.0105948,"domain_scores_codex":[0.9950164,0.003968367,0.0002177128,0.0003631501,0.0002756487,0.0001587534],"domain_scores_gemma":[0.9397113,0.05441409,0.002699166,0.001649278,0.001011199,0.0005149281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002430807,0.000459372,0.03515453,0.000579125,0.001127961,0.0004122558,0.0002343152,0.9021193,0.001025942,0.0184211,0.00366631,0.03436899],"study_design_scores_gemma":[0.0002361224,0.0001867063,0.002021953,0.00003678913,0.0001226198,0.00005904564,0.00002091098,0.983106,0.0003293367,0.01281435,0.001049236,0.00001702663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5283512,0.001476569,0.4441864,0.007315365,0.0002662681,0.002815396,0.007195326,0.001802471,0.006590959],"genre_scores_gemma":[0.8747492,0.0002687162,0.117821,0.001021398,0.00007030535,0.002079125,0.002633926,0.00005952223,0.001296815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01619006,"threshold_uncertainty_score":0.08562231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4833566428963154,"score_gpt":0.5250898322605377,"score_spread":0.04173318936422238,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}